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; ● Experience compiling, processing, and analyzing large spatial fisheries datasets and/or fishing fleet behavior (via e.g., AIS data) in management contexts; ● Demonstrated understanding of how insights from
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
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interest) in nanopore based DNA methylation analysis and previous bioinformatics training. Requirements: PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and
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interests and an explanation of why you are interested in the position. CV List of publications PhD degree certificate and any other relevant degrees Contact information for two referees The application
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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task essential for grid stability. The goals of the project are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your